_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-vpc 1.2.2
Propagated dependencies: r-classint@0.4-11 r-dplyr@1.1.4 r-ggplot2@4.0.1 r-mass@7.3-65 r-readr@2.1.6 r-stringr@1.6.0 r-survival@3.8-3 r-tidyr@1.3.1
Channel: guix
Location: gnu/packages/statistics.scm (gnu packages statistics)
Home page: https://vpc.ronkeizer.com/
Licenses: Expat
Synopsis: Create visual predictive checks
Description:

Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.

Total results: 1